Remote-Eligible Data Engineer for DoD Analytics

KBR Careers; Honolulu (HI); On-site; USD 120,000 - 179,000; Full time

Benefits offered by this job

Bonuses/Additional compensation

Relocation benefits

Job summary

KBR’s National Security Solutions team is seeking a Data Engineer to enable data-driven decision analysis for DoD modernization. The role involves applying data science, machine learning, and operations research methods to provide robust testing capabilities and analytics across DoD datasets.

The candidate will support onsite CHEETAS tools, collaborate with data scientists, software engineers, and system admins, and travel up to 50% to support end users at DoD ranges and labs.

Qualifications

• Five (5) years of hands-on experience in big data analytics.
• Five (5) years of hands-on experience with object-oriented and functional languages (Python, R, C++, Java, etc.).
• Active TS/SCI clearance is required.
• Degree in operations research, engineering, applied math, statistics, computer science or information technology.

Responsibilities

• Provide analytic consulting services and support analytic workflow and product development.
• Operate CHEETAS and other tools, demonstrate to stakeholders and VIPs.
• Analyze DoD datasets and present insights to stakeholders with data-driven recommendations.
• Communicate results at programmatic and technical levels; work with cross-functional teams.
• Develop and optimize big data pipelines and data sets for analytics.

Skills

Python

R

C++

Java

SQL

Big data analytics

ETL processes

Data visualization

Spark

Hadoop

Machine learning

RMarkdown

Education

Operations Research

Engineering

Applied Math

Statistics

Computer Science

Tools

Spark

Trino

Hadoop

Hive

Neo4J

JanusGraph

HBase

Polybase

VMware

Job description

KBR’s National Security Solutions team is seeking a Data Engineer to enable data-driven decision analysis for DoD modernization. The role involves applying data science, machine learning, and operations research methods to provide robust testing capabilities and analytics across DoD datasets.

The candidate will support onsite CHEETAS tools, collaborate with data scientists, software engineers, and system admins, and travel up to 50% to support end users at DoD ranges and labs.